Methods in Ecology and Evolution (Dec 2024)

The use of generative AI for coding in academia

  • Simon Wills,
  • Sanson T. S. Poon,
  • Arianna Salili‐James,
  • Ben Scott

DOI
https://doi.org/10.1111/2041-210X.14454
Journal volume & issue
Vol. 15, no. 12
pp. 2189 – 2191

Abstract

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Abstract In a recent Perspective Piece, Cooper et al. (2024) highlight the benefits that large language models (LLM) bring to the coding process and offer some guidance around the use of LLM‐generated code in academic publications. Whilst we broadly support the stance taken by the authors, we offer a slightly different perspective from our experience of using both artificial intelligence (AI) generated code and more traditional resources such as Stack Overflow. We highlight how the integration of generative AI tools such as ChatGPT holds immense promise for advancing academic research, revolutionising coding education and practices, promoting inclusivity, and facilitating knowledge dissemination. However, we also acknowledge that researchers must navigate the ethical and methodological challenges inherent in harnessing AI technologies, prioritising transparency, validation, and critical inquiry to ensure the integrity and credibility of research initiatives.

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